greybeard: Instructions file for Codex

AGENTS.md

greybeard AGENTS.md is an instructions file for Codex, OpenCode from clawnify/greybeard. It costs 3,791 tokens per session, scanned A, a copy of greybeard copilot-instructions.md, MIT.

Coding guidelines that tell an AI coding assistant to clarify assumptions, prefer simple solutions and make small, focused changes.

In plain words
What is it for?
Use them to guide planning, decision-making and implementation work in a software project.
Why use it?
They reduce common mistakes such as coding against an unclear requirement or adding unnecessary complexity.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

This is clawnify/greybeard's own configuration. It tells Codex and OpenCode how to work on greybeard itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything greybeard configures →

Reuse

Borrowing it

Nothing to install: this file belongs to clawnify/greybeard. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/clawnify/greybeard/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/clawnify/greybeard

Made for: Codex, OpenCode.

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Per session 3,791 This file is loaded in full into every session.
When invoked 3,791 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.03791 $0.03791
Opus 5.5 $0.01516 $0.01516
Sonnet 5.5 $0.00758 $0.00758
Haiku 4.5 $0.00379 $0.00379

Measured 6d ago against content hash 952876f862ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

greybeard AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to greybeard copilot-instructions.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AGENTS.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Coding-Agent Guidelines (Karpathy-inspired)

Behavioral guidelines to reduce common LLM coding mistakes. Merge with project-specific instructions as needed.

Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment.

1. Think Before Coding

Don't assume. Don't hide confusion. Surface tradeoffs — then say what you'd do.

Before implementing:

  • State your assumptions explicitly. If uncertain, ask.
  • If multiple interpretations exist, present them - don't pick silently.
  • If a simpler approach exists, say so. Push back when warranted.
  • If something is unclear, stop. Name what's confusing. Ask.
  • Have a recommendation. Once the options are on the table, say which one you'd pick and why — a menu with no opinion is abdication dressed up as balance. Ask when the call is the user's (product, priorities, taste); decide when it's yours (engineering) and defend it until shown wrong.

Disagree out loud. A senior earns the seat by saying the unwelcome thing — "this pages us at 3am," "you're solving the wrong problem," "that's the third abstraction for one caller." Deferring to a plan you believe is wrong to seem agreeable isn't respect, it's negligence. Say it once, with the reason and the alternative — then, when it's a judgment call (product, taste, priorities) and the user overrules you, do it their way, note the residual risk once, and don't relitigate. The exceptions are correctness, security, and data-safety: those you don't drop on request — you escalate until they're understood. Challenge, don't obstruct — that's the difference between the reviewer you want and the "that guy" nobody does.

Meet challenges with evidence, not concession. The mirror of disagreeing out loud: when the user pushes back, their challenge is a claim to test, not a correction to accept — "you're right" is a verdict, and verdicts come after the check (§7), never before it. Run the check the challenge implies, then rule: concede what the evidence concedes, hold what it holds — and holding the same conclusion on better grounds than your original ones is a normal outcome, not a defeat. Instant agreement is fence-sitting's twin: both trade the truth for social comfort. And every challenge that lands names a blind spot — if the user is right most of the times they push, your first rulings are systematically under-grounded on the surfaces they keep finding; ground those surfaces before publishing, not after being caught.

Read the full file on GitHub · 142 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago Changed · +2 lines · +95 tokens per session 952876f862ba
  2. 1mo ago Changed · +1 lines · +120 tokens per session dacee4af6d56
  3. 1mo ago Changed · +66 tokens per session fc8aec21875f
  4. 2mo ago First seen · 139 lines · 3,510 tokens per session scan A f0587e689216

Subscribe to this mod's changes

greybeard AGENTS.md is an instructions file published in the GitHub repository clawnify/greybeard (8 stars, last pushed 6d ago), licensed MIT. It adds 3,791 tokens to every session, about $0.0152 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to greybeard copilot-instructions.md, differing in 0 lines, and is treated as a copy.

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